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Deep learning models based on the transformer architecture for language tasks.
Distinguishing note: Focuses on the model's identity as a transformer-based language model.
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This project is a transformer-based language model and natural language processing toolkit designed to generate deep contextual representations of text. By utilizing a transformer-based encoder architecture, the system processes input sequences through stacked self-attention layers to capture the semantic meaning of tokens based on their surrounding sentence structure. The model distinguishes itself through bidirectional contextual processing, which analyzes text in both directions simultaneously, and masked language modeling, which trains the system by predicting hidden tokens within a seque
Processes text sequences bidirectionally to capture complex contextual relationships between words.